NDLI: Object tracking and matting for a class of dynamic image-based representations

Content Provider	IEEE Xplore Digital Library
Author	Zhi-Feng Gan Shing-Chow Chan Heung-Yeung Shum
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Hong Kong Univ., China (Zhi-Feng Gan; Shing-Chow Chan)
Abstract	Image-based rendering (IBR) is an emerging technology for photo-realistic rendering of scenes from a collection of densely sampled images and videos. Recently, an object-based approach for a class of dynamic image-based representations called plenoptic videos was proposed. This paper proposes an automatic object tracking approach using the level-set method. Our tracking method, which utilizes both local and global features of the image sequences instead of global features exploited in previous approach, can achieve better tracking results for objects, especially with non-uniform energy distribution. Due to possible segmentation errors around object boundaries, natural matting with Bayesian approach is also incorporated into our system. Furthermore, a MPEG-4 like object-based algorithm is developed for compressing the plenoptic videos, which consist of the alpha maps, depth maps and textures of the segmented image-based objects from different video plenoptic streams. Experimental results show that satisfactory renderings can be obtained by the proposed approaches.
Starting Page	81
Ending Page	86
File Size	1023316
Page Count	6
File Format	PDF
ISBN	0780393856
DOI	10.1109/AVSS.2005.1577247
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-09-15
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Image coding Bayesian methods Layout Streaming media Rendering (computer graphics) Image sequences Gallium nitride MPEG 4 Standard Videos
Content Type	Text
Resource Type	Article

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